Inside the Briefcase

FICO Scales with Oracle Cloud

FICO Scales with Oracle Cloud

Doug Clare, Vice President at FICO, describes how Oracle...

Is Your Enterprise IT the Best It Can Be?

Is Your Enterprise IT the Best It Can Be?

Enterprise IT is a driver of the global economy....

The IoT Imperative for Consumer Industries

The IoT Imperative for Consumer Industries

This IDC white paper examines current and future...

How to align your visual brand guidelines and create consistently on-brand content

How to align your visual brand guidelines and create consistently on-brand content

In this ebook, we’ll explore the various themes leading...

Your B2B Content Strategy in 2017: How To Think Like A Movie Studio + 6 Other Tactics

Your B2B Content Strategy in 2017: How To Think Like A Movie Studio + 6 Other Tactics

Jon Lombardo, Creative Lead, LinkedIn, reveals in this presentation...

eBook: Making Sense of Stream Processing

March 13, 2017 No Comments

The Philosophy Behind Apache Kafka and Scalable Stream Data Platforms

How can event streams help make your application more scalable, reliable, and maintainable?

In this ebook, O’Reilly author Martin Kleppmann shows you how stream processing can make your data processing systems more flexible and less complex. Structuring data as a stream of events isn’t new, but with the advent of open source projects like Apache Kafka and others, stream processing is finally coming of age.

Kleppmann explains how these projects can help you reorient your database architecture around streams and materialized views. The benefits include better data quality, faster queries through precomputed caches, and real-time user interfaces. Learn how to open up your data for richer analysis and make your applications more scalable and robust.

Download the eBook to learn more.

Stream processing confluent 199x300 eBook: Making Sense of Stream Processing

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